[AISWorld] FYI - Contents of IJIIT 8(4)

Fri Feb 8 11:23:12 EST 2013

The contents of the latest issue of:

International Journal of Intelligent Information Technologies (IJIIT)

Official Publication of the Information Resources Management Association

Volume 8, Issue 4, October - December 2012

Published: Quarterly in Print and Electronically

ISSN: 1548-3657 EISSN: 1548-3665

Published by IGI Publishing, Hershey-New York, USA

www.igi-global.com/ijiit

Editor-in-Chief: Vijayan Sugumaran, Oakland University, USA

PAPER ONE

Soft Computing Approaches for Human-Autonomous Agent Communication

Frederick E. Petry (Naval Research Laboratory, Stennis Space Center, MS,
USA) and Ronald R. Yager (Machine Intelligence Institute, Iona College, New
Rochelle, NY, USA)

This paper describes soft computing approaches for human-agent
communications in the context of influencing decision making behavior.
Several methods are illustrated including using a person's predispositions
and generalization techniques that allow issues to be viewed in a more
favorable light with social interaction persuasion tendencies modeled with
soft computing. The context of a robotic assistant for the elderly is used
to illustrate the various communication techniques. Finally the related
topic of negotiations using some the developed techniques is presented.

To obtain a copy of the entire article, click on the link below.

http://www.igi-global.com/article/soft-computing-approaches-human-autonomous
/74826

To read a PDF sample of this article, click on the link below.

http://www.igi-global.com/viewtitlesample.aspx?id=74826
<http://www.igi-global.com/viewtitlesample.aspx?id=74826&ptid=59599&t=soft+c
omputing+approaches+for+human-autonomous+agent+communication>
&ptid=59599&t=soft+computing+approaches+for+human-autonomous+agent+communica
tion

PAPER TWO

A Quantitative Analysis of the English Lexicon in Wiktionaries and WordNet

Andrew Krizhanovsky (Institution of the Russian Academy of Sciences -
Institute of Applied Mathematical Research of the Karelian Research Centre,
Karelia, Russia)

A quantitative analysis of the English lexicon was done in the paper. The
three electronic dictionaries are under examination: the English Wiktionary,
WordNet, and the Russian Wiktionary. It was calculated the quantity of
English words and meanings (senses) in these dictionaries. The distribution
of words for each part of speech, the quantity of monosemous and polysemous
words and the distribution of words by number of meanings were calculated
and compared across these dictionaries. The analysis shows that the average
polysemy, the number and the distribution of word senses follow similar
patterns in both expert and collaborative resources with relatively minor
differences.

To obtain a copy of the entire article, click on the link below.

http://www.igi-global.com/article/quantitative-analysis-english-lexicon-wikt
ionaries/74827

To read a PDF sample of this article, click on the link below.

http://www.igi-global.com/viewtitlesample.aspx?id=74827
<http://www.igi-global.com/viewtitlesample.aspx?id=74827&ptid=59599&t=a+quan
titative+analysis+of+the+english+lexicon+in+wiktionaries+and+wordnet>
&ptid=59599&t=a+quantitative+analysis+of+the+english+lexicon+in+wiktionaries
+and+wordnet

PAPER THREE

An Intelligent Particle Swarm Optimization for Fuzzy Based Heterogeneous
Radio Access Technology (RAT) Selection

J. Preethi (Department of Computer Science and Engineering, Anna University
of Technology, Coimbatore, India) and S. Palaniswami (Government College of
Engineering, Bargur, India)

The future wireless networks are heterogeneous in nature where different
Radio Access Technologies (RATs) coexist in the same coverage area. The user
terminal has to select the best access technology among Wireless Local Area
Network (WLAN), Wireless Wide Area Network (WWAN), and Universal Mobile
Telecommunication Systems (UMTS) etc. at its current location. Thus,
selecting the appropriate RAT and cell becomes a complex problem in
heterogeneous network due to number of variables involved in the selection
process. The main objective of this work in the heterogeneous networks is to
maximize the percentage of satisfied users who are assigned to the networks.
Henceforth, this paper presents an innovative mechanism for the selection of
heterogeneous networks such as WWAN and WLAN. The performance of the
proposed algorithm is evaluated using 1000 datasets. From the simulation
results, it is found that the proposed algorithm gives highest probability
for mobile user satisfaction than the existing methods.

To obtain a copy of the entire article, click on the link below.

http://www.igi-global.com/article/intelligent-particle-swarm-optimization-fu
zzy/74828

To read a PDF sample of this article, click on the link below.

http://www.igi-global.com/viewtitlesample.aspx?id=74828
<http://www.igi-global.com/viewtitlesample.aspx?id=74828&ptid=59599&t=an+int
elligent+particle+swarm+optimization+for+fuzzy+based+heterogeneous+radio+acc
ess+technology+(rat)+selection>
&ptid=59599&t=an+intelligent+particle+swarm+optimization+for+fuzzy+based+het
erogeneous+radio+access+technology+(rat)+selection

PAPER FOUR

An Intelligent and Dynamic Decision Support System for Nonlinear
Environments

S. Uma (Hindusthan Institute of Technology, Tamil Nadu, India) and J.
Suganthi (Department of Computer Science and Engineering, Hindusthan College
of Engineering and Technology, Tamil Nadu, India)

Nonlinear time series systems are high dimensional and chaotic in nature.
Since, the design of a dynamic and efficient decision making system is a
challenging task, a Support Vector Machine (SVM) based model is proposed to
predict the future event of a nonlinear time series environment. This model
is a non-parametric model that uses the inherent structure of the data for
forecasting. The Hybrid Dimensionality Reduction (HDR) and Extended Hybrid
Dimensionality Reduction (EHDR) techniques are proposed to represent the
time series data and to reduce the dimensionality and control noise besides
subsequencing the time series data. The proposed SVM based model using EHDR
is compared with the models using Symbolic Aggregate approXimation (SAX),
HDR, SVM using Kernel Principal Component Analysis(KPCA) and SVM using
varying tube size values for historical data on different financial
instruments. The experimental results have proved that the prediction
accuracy of the proposed model is better compared with other models taken
for the experimentation.

To obtain a copy of the entire article, click on the link below.

http://www.igi-global.com/article/intelligent-dynamic-decision-support-syste
m/74829

To read a PDF sample of this article, click on the link below.

http://www.igi-global.com/viewtitlesample.aspx?id=74829
<http://www.igi-global.com/viewtitlesample.aspx?id=74829&ptid=59599&t=an+int
elligent+and+dynamic+decision+support+system+for+nonlinear+environments>
&ptid=59599&t=an+intelligent+and+dynamic+decision+support+system+for+nonline
ar+environments

PAPER FIVE

Optimal Strategy for the Smartphone Industry in Taiwan: HTC Case Study

Yi-Fen Chen (Chung Yuan Christian University, Chung Li, Taiwan), Bi-Chu Chen
(Jinwen University of Science and Technology, New Taipei City, Taiwan),
Wen-Yu Chen (Chinese Culture University, Taipei, Taiwan), Chia-Wen Tsai
(Ming Chuan University, Taipei, Taiwan) and Wei-Hung Lin (Chung Yuan
Christian University, Chung Li, Taiwan)

Smartphone development has opened the door to many future business
opportunities. Many smartphone manufacturers in Taiwan have received orders
from large international companies (mainly as OEMs or ODMs), while only few
manufacturers have developed their own brands. If the authors can provide
these enterprises with an effective decision-making strategy, they will be
able to make the best decisions in time. The purpose of this paper is to
take critical success factors (CSFs) and the existing internal capabilities
of an enterprise in an external environment into account to build an
operational model guide that enterprise in its decision making process. This
study combined the Delphi method and the analytic network process (ANP)
model to construct a decision model, calculate the weighting of every
criterion and sub-criterion, and determine the optimal decision-making
strategy in the smartphone industry. Then, the authors chose the HTC
Corporation as a case study. The results showed that the development trend
of the smartphone industry was the integration of mobile phones. The
strategy of excellent functions strategy is the optimal strategy for the
implementation of the alternatives.

To obtain a copy of the entire article, click on the link below.

http://www.igi-global.com/article/optimal-strategy-smartphone-industry-taiwa
n/74830 

To read a PDF sample of this article, click on the link below.

http://www.igi-global.com/viewtitlesample.aspx?id=74830
<http://www.igi-global.com/viewtitlesample.aspx?id=74830&ptid=59599&t=optima
l+strategy+for+the+smartphone+industry+in+taiwan%3a+htc+case+study>
&ptid=59599&t=optimal+strategy+for+the+smartphone+industry+in+taiwan%3a+htc+
case+study 

*****************************************************

For full copies of the above articles, check for this issue of the
International Journal of Intelligent Information Technologies (IJIIT) in
your institution's library. This journal is also included in the IGI Global
aggregated "InfoSci-Journals" database:
http://www.igi-global.com/eresources/infosci-journals.aspx.

*****************************************************

CALL FOR PAPERS

Mission of IJIIT:

The advent of the World Wide Web has sparked renewed interest in the area of
intelligent information technologies. There is a growing interest in
developing intelligent technologies that enable users to accomplish complex
tasks in web-centric environments with relative ease, utilizing such
technologies as intelligent agents, distributed computing in heterogeneous
environments, and computer supported collaborative work. The mission of the
International Journal of Intelligent Information Technologies (IJIIT) is to
bring together researchers in related fields such as information systems,
distributed AI, intelligent agents, and collaborative work, to explore and
discuss various aspects of design and development of intelligent
technologies. This journal provides a forum for academics and practitioners
to explore research issues related to not only the design, implementation
and deployment of intelligent systems and technologies, but also economic
issues and organizational impact. Papers related to all aspects of
intelligent systems including theoretical work on agent and multi-agent
systems as well as case studies offering insights into agent-based problem
solving with empirical or simulation based evidence are welcome.

Coverage of IJIIT:

The International Journal of Intelligent Information Technologies (IJIIT)
encourages quality research dealing with (but not limited to) the following
topics:

.         Agent-based auction, contracting, negotiation, and ecommerce

.         Agent-based control and supply chain

.         Agent-based simulation and application integration

.         Cooperative and collaborative systems

.         Distributed intelligent systems and technologies

.         Human-agent interaction and experimental evaluation

.         Implementation, deployment, diffusion, and organizational impact

.         Integrating business intelligence from internal and external
sources

.         Intelligent agent and multi-agent systems in various domains

.         Intelligent decision support systems

.         Intelligent information retrieval and business intelligence

.         Intelligent information systems development using design science
principles

.         Intelligent Web mining and knowledge discovery systems

.         Manufacturing information systems

.         Models, architectures and behavior models for agent-oriented
information systems

.         Multimedia information processing

.         Privacy, security, and trust issues

.         Reasoning, learning, and adaptive systems

.         Semantic Web, Web services, and ontologies 

Interested authors should consult the journal's manuscript submission
guidelines www.igi-global.com/ijiit.

All inquiries and submissions should be sent to:

Editor-in-Chief: Dr. Vijayan Sugumaran at sugumara at oakland.edu
<mailto:%20sugumara at oakland.edu> 

=======================================
Vijayan Sugumaran, Ph.D.

Professor of Management Information Systems

Department of Decision and Information Sciences

School of Business Administration

Oakland University

Rochester, MI 48309

Phone: +1 248 370 2831

Fax: +1 248 370 4275

Email: sugumara at oakland.edu

=======================================

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